English  |  正體中文  |  简体中文  |  Items with full text/Total items : 94286/110023 (86%)
Visitors : 21685450      Online Users : 448
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    ASIA unversity > 管理學院 > 經營管理學系  > 博碩士論文 >  Item 310904400/111847


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/111847


    Title: 通過與最佳(MCB)和Bonferroni方法的多重比較,選擇具有單側規格的非線性輪廓
    Supplier Selection for Nonlinear Profile with One-sided Specification by Multiple Comparisons with The Best (MCB) and Bonferroni Method
    Authors: 黃佳欣
    KUSUMANINGRUM, RESTY
    Contributors: 經營管理學系
    Keywords: 供应商选择;非线性配置文件;单面规范;多重比较 (MCB);Bonferroni方法
    Supplier Selection;Nonlinear Profile;One-sided Specification;Multiple Comparison with the Best (MCB);Bonferroni Method
    Date: 2019
    Issue Date: 2019-05-23 02:42:25 (UTC+0)
    Publisher: 亞洲大學
    Abstract: 研究目的 – 本研究的目的是研究两种提出的方法,即与最佳(MCB)和Bonferroni方法的多重比较,以便在通过非线性轮廓和单侧规范呈现质量时解决供应商选择问题。

    研究方式 –本研究使用与最佳(MCB)和差异检验统计的多重比较来选择最佳供应商。此外,本研究应用Bonferroni方法在进行多重比较测试时控制总误差率。进行模拟以找到选择功率和所需的轮廓数量。这些程序是用R语言编写的。

    研究發現 – 在供应商选择过程中,MCB比Bonferroni方法更敏感和更保守。 MCB也可以拒绝更劣质的供应商。因此,MCB的表现优于Bonferroni。功率测试将随着级别数量和配置文件数量的增加而提高。当最佳供应商等于K / 2的上限时,将发生MCB的最小功率。同时,当只有一个最佳供应商时,Bonferroni方法的最小功率将会发生。为便利决策者的目的,列表的临界值和所需数量的表格。为了更好地了解所提出的方法,还说明了示例。

    獨創性與價值 – 供应商选择是供应链管理中的关键过程。选择合适的供应商以降低成本并提供高质量的产品非常重要。在文献中,已经提出了几种方法来处理基于PCI的供应商选择。大多数已发表的文章都集中在通过非线性轮廓描述质量特性并考虑双面规范的情况。对于具有单侧规范的非线性轮廓,研究供应商选择问题的文章相对较少。
    Purpose – The purpose of this study is to examine two proposed methods, multiple comparisons with the best (MCB) and Bonferroni method, to tackle supplier selection problem when the quality is presented by nonlinear profile with one-sided specification.

    Methodology/approach – This study use multiple comparison with the best (MCB) and the difference test statistic to select the best suppliers. In addition, this study applied Bonferroni method to control overall error rate when conducting multiple comparison test. A simulation was conducted in order to find the selection power and the required number of profiles. The programs were written in R language.

    Findings – MCB is more sensitive and conservative than Bonferroni method in supplier selection process. MCB also can reject more inferior supplier. Therefore, MCB perform better than Bonferroni. The power test will improve along with the increases both the number of levels and the number of profiles. The least power for MCB will occur when the best supplier is equal to the upper limit of K/2. Meanwhile, the least power for Bonferroni method will happen when there is only one best supplier. The critical value and required number of profiles are tabulated for the convenience decision maker purposes. To give a better insight about the proposed methods, illustrative example also demonstrated.

    Originality/value – Supplier selection is essential process in supply chain management. It is important to choose the right supplier in order to reduce cost, and provide high quality products. In literatures, several approaches have been proposed to deal with supplier selection based on PCI. Most of the published articles are focus on the case where quality characteristics is described by nonlinear profile and considering two-sided specification. It is relatively few articles investigate supplier selection problem for nonlinear profile with one-sided specification.
    Appears in Collections:[經營管理學系 ] 博碩士論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML315View/Open


    All items in ASIAIR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback